Abstract:  Communication can be a significant source of overhead for HPC applications. One of the most common techniques for reducing these overheads to overlap communication with computation; however, this technique has been challenging to apply in the context of GPU accelerated workloads. In this presentation, I will cover several technologies and techniques that we have developed that enable users to reduce exposed overheads from communication and improve GPU utilization. I will discuss how these can be applied in the context of the Message Passing Interface (MPI) and review active work in progress to extend the MPI standard with support for these new communication techniques.